What is Marketing Analytics Software?

Marketing analytics software helps businesses gather data from multiple sources and channels to identify which marketing initiatives are performing well and which have room for improvement. Leveraging marketing analytics software is imperative when calculating ROI on marketing campaigns, which help optimize digital marketing spend. Finally, with the help of marketing analytics tools, marketers can operate more efficiently by learning how to better allocate their time. Marketing metrics and marketing analytics are completely different, and it’s important to note the distinction. Marketers are inundated with metrics, or data points, that they can use to dictate marketing activities and boost customer satisfaction. However, without analytics, marketers won’t be able to take that next step. Marketing analytics puts those metrics into context, turning them into actionable insights and helping drive revenue. As marketing teams move faster, they increasingly want marketing analytics software with real-time ROI tracking and no SQL required to get that context, rather than waiting on a data team to translate raw numbers into insight. Based on G2 reviews, marketers most often evaluate these platforms by comparing how quickly they surface ROI, how current the data is, and how much technical skill is needed to get value out of them. What Types of Marketing Analytics Software Exist? While the overall goal of a marketing analytics platform is to help marketers measure and optimize marketing performance, the methods and tools used to accomplish this goal can vary from product to product. Selecting the optimal software for a business is a matter of finding a product that integrates well with their existing technology stack. Standalone solutions Standalone marketing analytics tools connect to multiple data sources and marketing channels to measure campaign performance. These products typically integrate with marketing automation software, CRM software, digital advertising software, and digital analytics software. Standalone platforms collect and consolidate marketing campaign data from these disparate sources, enabling marketers to analyze campaign performance across channels and audiences. While standalone products may include tools for optimizing digital ads, they do not provide built-in capabilities for executing omnichannel marketing campaigns. All-in-one marketing suites All-in-one marketing suites help marketers plan, execute, and measure cross-channel marketing campaigns. In addition to marketing analytics, these end-to-end solutions provide features for implementing marketing campaigns through email, social media, display ads, landing pages, and more. All-in-one marketing suites can include marketing automation software and account-based marketing platforms.

Which software is best for marketing metrics analysis?

Selecting the best software for marketing metrics analysis depends on your business size, specific needs, and the features that you want to achieve your goals. Here are some of G2's top contenders, each excelling in different areas: HubSpot Analytics: Best for inbound marketing analytics, lead tracking, and email campaign performance. AgencyAnalytics: Best for client reporting across multiple channels. Supermetrics: Best for data integration across 150+ platforms and trusted by major brands.

What are the Common Features of Marketing Analytics Software?

To bolster accountability and help marketers seize more control over their company's strategic revenue generation goals, marketers need to have the ability to measure the performance of their entire marketing funnel. Below are some marketing analytics software features that help leverage marketing data to drive actionable results. Data collection: Before analyzing data and turning it into actionable insights, marketers will need to use marketing analytics solution to collect data on all of their marketing campaigns. This type of software can collect data on the campaigns distributed across a variety of channels. This data is essential to kickstart the process of collecting insights into the customers’ and prospects’ preferences and history. Return on investment (ROI): Marketers have numerous metrics to potentially analyze, which can often lead to data paralysis. Marketing analytics software helps marketers make sense of all those metrics and determine the effectiveness and ROI of marketing campaigns. Marketers must not only optimize marketing strategies but also prove and improve ROI to present to executive leaders within their company. Finance teams in particular want to see this translated into numbers they recognize, net revenue impact, budget justification, clear attribution, not raw campaign metrics. According to G2 reviews, this is what separates the highest rated marketing analytics software from the rest. The ROI measurement feature within the marketing analytics tools can quantify the outcome of every marketing investment users make. Reports and dashboards: It’s imperative to not only analyze data but to also showcase analysis within a report to present the findings. Marketing analytics software help generate visualizations and reports for the entire marketing funnel from acquisition to close. These reports and custom dashboards gather closed-loop reporting on all marketing initiatives. Within some reporting features, users can drill down into specific data points or filter by certain criteria to uncover trends and take action for future campaigns. Marketing analytics software enable marketers to track all of this data in one place to easily analyze and share with the rest of their team and company. Finally, this feature will empower marketers to make accurate forecasting decisions for their future marketing goals and strategies. Attribution reports: Attribution reporting helps analyze touchpoints or marketing channels that should receive credit for a conversion. There are various attribution models that marketing analytics software can provide, including last interaction attribution, first click attribution, and multi-touch attribution models that consist of linear attribution, time decay attribution, and position-based attribution. The last interaction attribution model gives credit to the last traffic source that resulted in the conversion of a consumer. First click attribution models are the opposite of that, wherein it gives all the credit to the first channel a consumer visited. Multi-touch attribution uses weighted modeling to be able to allocate credit across multiple channels, campaigns, and touchpoints. Linear attribution is a form of multi-touch attribution that distributes credit evenly across every touchpoint in the buyer journey. Time decay attribution gives more credit to the touchpoints closest to the buyer’s conversion and less credit to the prior touchpoint. Finally, position-based attribution gives credit to two key touchpoints: the first touch that gets the visitor in the door and the last touch when a lead converts. These two touches get 40% of the credit and the remaining touchpoints equally split the remaining 20%. The most trusted B2B marketing analytics software, according to G2 user reviews, tends to stand out specifically for multi-touch attribution rather than last-click models, since B2B buying decisions usually involve several touchpoints over a longer timeline than a typical consumer purchase. Reviewers in B2B roles consistently bring up CRM integration and pipeline visibility as the features they evaluate most closely, more than overall star ratings, which run roughly in line with the category average. Multichannel tracking: To be able to paint a complete picture around marketing campaign effectiveness, it’s important to gather and analyze data across a variety of marketing channels. Multi-channel campaign data from the best marketing analytics software helps collect marketing performance across numerous channels, such as email, social media, SMS, display ads, search engine marketing, and landing pages, to allow marketers to deliver targeted and timely marketing content to their intended audience.

Page 3 | Best Marketing Analytics Software: User Reviews from October 2026

SAS Customer Intelligence 360

SAS Customer Intelligence 360 is an AI-powered customer engagement platform that helps organizations connect customer data, decisions and delivery to create relevant, personalized experiences across every channel. The platform unifies audience management, customer journey orchestration, marketing decisioning, data activation and measurement in a single solution, enabling marketers to turn customer insights into real-time actions. Designed for marketing, customer experience and digital engagement teams, SAS Customer Intelligence 360 helps organizations build stronger customer relationships by delivering the right message, offer or experience at the right time. Marketers can create and activate audiences, orchestrate omnichannel customer journeys, manage communications across digital and offline channels, and optimize engagement using AI, analytics and real-time decisioning. Unlike traditional marketing clouds, SAS Customer Intelligence 360 uses a flexible hybrid data architecture that allows organizations to access and activate customer data where it resides, whether in the cloud, on premises or within existing MarTech solutions. This approach reduces data movement, simplifies integrations and helps organizations maximize the value of their existing technology investments. The platform provides marketers with a comprehensive view of customer behavior by combining online and offline interactions, digital activity, customer attributes and business data. Embedded AI, analytics and decision intelligence help organizations identify audiences, personalize engagement, determine next-best actions and continuously optimize customer experiences at scale. Whether modernizing legacy MarTech, enhancing an existing marketing ecosystem or pursuing a composable customer engagement strategy, organizations use SAS Customer Intelligence 360 to improve customer acquisition, retention, loyalty and lifetime value through more relevant and meaningful customer interactions.

Average Rating: 4.4/5.0

Total Reviews: 145

How Do G2 Users Rate SAS Customer Intelligence 360?

Has the product been a good partner in doing business?: 8.2/10 (Category avg: 9.3/10)
Data Collection: 8.9/10 (Category avg: 9.0/10)
Multichannel Tracking: 8.9/10 (Category avg: 8.7/10)
Campaign Insights: 9.0/10 (Category avg: 8.8/10)

Who Is the Company Behind SAS Customer Intelligence 360?

Seller: SAS Institute
Company Website:
Year Founded: 1976
HQ Location: Cary, NC
Twitter: @SASsoftware
60,863 Twitter followers
LinkedIn® Page: www.linkedin.com
15,122 employees on LinkedIn®

Who Uses This Product?

Top Industries: Marketing and Advertising, Banking
Company Size: 46% Medium, 34% Large

What Do G2 Reviewers Say About SAS Customer Intelligence 360?

AI-generated summary from verified user reviews

Pros

Users appreciate the ease of use in SAS Customer Intelligence 360, enhancing their data management and analysis experience.
Users value the comprehensive insights offered by SAS Customer Intelligence 360, enhancing their marketing strategies and engagement.
Users value the advanced analytics of SAS Customer Intelligence 360, enhancing campaign effectiveness and audience targeting.
Users appreciate the comprehensive customer mapping features of SAS Customer Intelligence 360 for understanding customer interactions.
Users value the flexibility and automation of SAS Customer Intelligence 360 for creating tailored marketing strategies.

Cons

Users face a steep learning curve, finding the interface complex and requiring time to navigate effectively.
Users find the product expensive, which affects their overall perception and willingness to invest in the software.
Users often face integration issues with SAS Customer Intelligence 360, making setup and data manipulation challenging.
Users find the difficult setup of SAS Customer Intelligence 360 challenging, requiring training and time to fully integrate.
Users find the complexity of SAS Customer Intelligence 360 challenging, requiring additional training and support for effective use.

What Are Recent G2 Reviews of SAS Customer Intelligence 360?

"User-Friendly with Efficient Segment Mapping"

Rating: 4.0/5.0 stars

— Verified User in Business Supplies and Equipment

Best Marketing Analytics Tools - Page 3

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Category Stats (Oct 2026)

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